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A Novel Approach and Design of Embedded Controlled Prosthetic Upper Limb to Assist the Above Elbow Amputees

机译:一种新的嵌入式控制假肢上肢的方法和设计,以帮助上述弯头痉挛

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The existing prosthetic upper limb design and control is divided into two broad categories. One is the myoelectric prosthesis where electromechanical active joints actuate the arm segments and is directly activated by acquiring Electromyogram (EMG) signals from the amputee which is sensed by myoelectric electrodes. Acquiring of the EMG signals is a tedious process as it involves adequate amplification and proper filtering. Also isolation of noise from EMG signals poses difficulty. The other category falls under intelligent prosthetic hand where neural networks (NN) are involved. It requires adequate training for NN operation that leads to the complexity in implementing electronic circuits. The major disadvantage of the above mentioned technologies is lack of proprioceptive feedback from the amputee. The drawbacks of the existing technologies motivates us to design a prototype with proprioceptive feedback to control the Above Elbow (AE) prosthesis with a permanent magnet implanted at the distal end of the residual humerus of the amputee. The proprioception remains intact to the residual limb skeletal structure. In this work, the proposed approach involves in processing the magnetic field variation due to residual arm bone movement which is sensed by magnetic field sensors. The embedded controller controls the movements of the prosthetic hand by processing the signals received from the sensors to assist the AE amputee.
机译:现有的假肢上肢设计和控制分为两大类。一种是肌电芯假体,其中机电有源接头致动臂段,并通过从由磁电极感测的截肢者获取电灰度(EMG)信号直接激活。获取EMG信号是一种繁琐的过程,因为它涉及足够的放大和适当的过滤。也从EMG信号隔离噪声造成困难。另一个类别涉及神经网络(NN)的智能假肢。它需要足够的NN操作培训,从而导致实现电子电路的复杂性。上述技术的主要缺点是截肢者缺乏截肢者的预言意见。现有技术的缺点是指我们设计具有丙灭虫反馈的原型,以控制上述弯头(AE)假体,其中永磁体植入截肢者的残余肱骨远端。预丙酮化合物保持完整对残留的肢体骨架结构。在这项工作中,所提出的方法涉及处理由于磁场传感器感测的残留臂骨运动引起的磁场变化。嵌入式控制器通过处理从传感器接收的信号来控制假肢手的运动,以帮助AE截肢者。

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